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Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model
BACKGROUND & AIMS: Patient-derived organoid cancer models are generated from epithelial tumor cells and reflect tumor characteristics. However, they lack the complexity of the tumor microenvironment, which is a key driver of tumorigenesis and therapy response. Here, we developed a colorectal can...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141529/ https://www.ncbi.nlm.nih.gov/pubmed/36868311 http://dx.doi.org/10.1016/j.jcmgh.2023.02.014 |
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author | Atanasova, Velina S. de Jesus Cardona, Crhistian Hejret, Václav Tiefenbacher, Andreas Mair, Theresia Tran, Loan Pfneissl, Janette Draganić, Kristina Binder, Carina Kabiljo, Julijan Clement, Janik Woeran, Katharina Neudert, Barbara Wohlhaupter, Sabrina Haase, Astrid Domazet, Sandra Hengstschläger, Markus Mitterhauser, Markus Müllauer, Leonhard Tichý, Boris Bergmann, Michael Schweikert, Gabriele Hartl, Markus Dolznig, Helmut Egger, Gerda |
author_facet | Atanasova, Velina S. de Jesus Cardona, Crhistian Hejret, Václav Tiefenbacher, Andreas Mair, Theresia Tran, Loan Pfneissl, Janette Draganić, Kristina Binder, Carina Kabiljo, Julijan Clement, Janik Woeran, Katharina Neudert, Barbara Wohlhaupter, Sabrina Haase, Astrid Domazet, Sandra Hengstschläger, Markus Mitterhauser, Markus Müllauer, Leonhard Tichý, Boris Bergmann, Michael Schweikert, Gabriele Hartl, Markus Dolznig, Helmut Egger, Gerda |
author_sort | Atanasova, Velina S. |
collection | PubMed |
description | BACKGROUND & AIMS: Patient-derived organoid cancer models are generated from epithelial tumor cells and reflect tumor characteristics. However, they lack the complexity of the tumor microenvironment, which is a key driver of tumorigenesis and therapy response. Here, we developed a colorectal cancer organoid model that incorporates matched epithelial cells and stromal fibroblasts. METHODS: Primary fibroblasts and tumor cells were isolated from colorectal cancer specimens. Fibroblasts were characterized for their proteome, secretome, and gene expression signatures. Fibroblast/organoid co-cultures were analyzed by immunohistochemistry and compared with their tissue of origin, as well as on gene expression levels compared with standard organoid models. Bioinformatics deconvolution was used to calculate cellular proportions of cell subsets in organoids based on single-cell RNA sequencing data. RESULTS: Normal primary fibroblasts, isolated from tumor adjacent tissue, and cancer associated fibroblasts retained their molecular characteristics in vitro, including higher motility of cancer associated compared with normal fibroblasts. Importantly, both cancer-associated fibroblasts and normal fibroblasts supported cancer cell proliferation in 3D co-cultures, without the addition of classical niche factors. Organoids grown together with fibroblasts displayed a larger cellular heterogeneity of tumor cells compared with mono-cultures and closely resembled the in vivo tumor morphology. Additionally, we observed a mutual crosstalk between tumor cells and fibroblasts in the co-cultures. This was manifested by considerably deregulated pathways such as cell-cell communication and extracellular matrix remodeling in the organoids. Thrombospondin-1 was identified as a critical factor for fibroblast invasiveness. CONCLUSION: We developed a physiological tumor/stroma model, which will be vital as a personalized tumor model to study disease mechanisms and therapy response in colorectal cancer. |
format | Online Article Text |
id | pubmed-10141529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101415292023-04-29 Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model Atanasova, Velina S. de Jesus Cardona, Crhistian Hejret, Václav Tiefenbacher, Andreas Mair, Theresia Tran, Loan Pfneissl, Janette Draganić, Kristina Binder, Carina Kabiljo, Julijan Clement, Janik Woeran, Katharina Neudert, Barbara Wohlhaupter, Sabrina Haase, Astrid Domazet, Sandra Hengstschläger, Markus Mitterhauser, Markus Müllauer, Leonhard Tichý, Boris Bergmann, Michael Schweikert, Gabriele Hartl, Markus Dolznig, Helmut Egger, Gerda Cell Mol Gastroenterol Hepatol Original Research BACKGROUND & AIMS: Patient-derived organoid cancer models are generated from epithelial tumor cells and reflect tumor characteristics. However, they lack the complexity of the tumor microenvironment, which is a key driver of tumorigenesis and therapy response. Here, we developed a colorectal cancer organoid model that incorporates matched epithelial cells and stromal fibroblasts. METHODS: Primary fibroblasts and tumor cells were isolated from colorectal cancer specimens. Fibroblasts were characterized for their proteome, secretome, and gene expression signatures. Fibroblast/organoid co-cultures were analyzed by immunohistochemistry and compared with their tissue of origin, as well as on gene expression levels compared with standard organoid models. Bioinformatics deconvolution was used to calculate cellular proportions of cell subsets in organoids based on single-cell RNA sequencing data. RESULTS: Normal primary fibroblasts, isolated from tumor adjacent tissue, and cancer associated fibroblasts retained their molecular characteristics in vitro, including higher motility of cancer associated compared with normal fibroblasts. Importantly, both cancer-associated fibroblasts and normal fibroblasts supported cancer cell proliferation in 3D co-cultures, without the addition of classical niche factors. Organoids grown together with fibroblasts displayed a larger cellular heterogeneity of tumor cells compared with mono-cultures and closely resembled the in vivo tumor morphology. Additionally, we observed a mutual crosstalk between tumor cells and fibroblasts in the co-cultures. This was manifested by considerably deregulated pathways such as cell-cell communication and extracellular matrix remodeling in the organoids. Thrombospondin-1 was identified as a critical factor for fibroblast invasiveness. CONCLUSION: We developed a physiological tumor/stroma model, which will be vital as a personalized tumor model to study disease mechanisms and therapy response in colorectal cancer. Elsevier 2023-03-02 /pmc/articles/PMC10141529/ /pubmed/36868311 http://dx.doi.org/10.1016/j.jcmgh.2023.02.014 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Atanasova, Velina S. de Jesus Cardona, Crhistian Hejret, Václav Tiefenbacher, Andreas Mair, Theresia Tran, Loan Pfneissl, Janette Draganić, Kristina Binder, Carina Kabiljo, Julijan Clement, Janik Woeran, Katharina Neudert, Barbara Wohlhaupter, Sabrina Haase, Astrid Domazet, Sandra Hengstschläger, Markus Mitterhauser, Markus Müllauer, Leonhard Tichý, Boris Bergmann, Michael Schweikert, Gabriele Hartl, Markus Dolznig, Helmut Egger, Gerda Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title | Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title_full | Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title_fullStr | Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title_full_unstemmed | Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title_short | Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model |
title_sort | mimicking tumor cell heterogeneity of colorectal cancer in a patient-derived organoid-fibroblast model |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141529/ https://www.ncbi.nlm.nih.gov/pubmed/36868311 http://dx.doi.org/10.1016/j.jcmgh.2023.02.014 |
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